Modeling and Solving Fractional Differential Algebraic Equations in Smart Control Systems
DOI:
https://doi.org/10.62383/bilangan.v3i3.504Keywords:
Fractional Differential Algebraic, Numerical approach, Smart Control SystemsAbstract
In this have a look at, a new mathematical model for FDAE-based smart manage systems is proposed. The model carries fractional derivatives blended with algebraic constraints to symbolize prolonged memory results. We describe a numerical method to solve the proposed device and practice this version to robotics, self-reliant cars, and sensible prosthetics. The Fractional Collocation Method is employed to resolve FDAEs, making sure accuracy and balance. To validate the proposed method, we introduce 3 examples: a simple FDAE demonstrating the accuracy of the numerical solution, a device of FDAEs modeling interdependent dynamic variables with algebraic constraints, and an FDAE with a nonlinear algebraic constraint, highlighting the approach's capability to handle complicated, nonlinear dynamics. Simulation results verify that FDAEs offer a more practical and powerful tool for designing and reading wise manage systems as compared to classical techniques.
Downloads
References
Ahmed, H. F., & Melad, M. B. (2018). New numerical approach for solving fractional differential-algebraic equations. Journal of Fractional Calculus and Applications, 9(2), 141–162.
Atangana, A., & Baleanu, D. (2016). New fractional derivatives with nonlocal and non-singular kernel: Theory and application to heat transfer model. arXiv preprint, arXiv:1602.03408. https://arxiv.org/abs/1602.03408
Jachymski, J., Jóźwik, I., & Terepeta, M. (2024). The Banach fixed point theorem: Selected topics from its hundred-year history. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 118(4), 140. https://doi.org/10.1007/s13398-024-01720-2
Li, Y., Chen, Y., & Podlubny, I. (2010). Stability of fractional-order nonlinear dynamic systems: Lyapunov direct method and generalized Mittag–Leffler stability. Computers & Mathematics with Applications, 59(5), 1810–1821. https://doi.org/10.1016/j.camwa.2009.08.029
Podlubny, I. (1998). Fractional differential equations: An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications (Vol. 198). Elsevier.
Sherry, L., & Paliano, M. (2019). Mathematical modeling of dynamical systems with fractional differential algebraic equations. Journal of Computational and Applied Mathematics, 356, 1–15. https://doi.org/10.1016/j.cam.2018.08.010
Shiri, B., & Baleanu, D. (2019). System of fractional differential algebraic equations with applications. Chaos, Solitons & Fractals, 120, 203–212. https://doi.org/10.1016/j.chaos.2018.10.020
Tai, Y., Chen, N., Wang, L., Feng, Z., & Xu, J. (2020). A numerical method for a system of fractional differential-algebraic equations based on sliding mode control. Mathematics, 8(7), 1134. https://doi.org/10.3390/math8071134
Tepljakov, A. (2017). Fractional-order modeling and control of dynamic systems. Springer. https://doi.org/10.1007/978-3-319-54276-0
Zeb, K., Islam, S. U., Khan, I., Uddin, W., Ishfaq, M., Busarello, T. D. C., ... & Kim, H. J. (2022). Faults and fault ride through strategies for grid-connected photovoltaic system: A comprehensive review. Renewable and Sustainable Energy Reviews, 158, 112125. https://doi.org/10.1016/j.rser.2022.112125
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.